Self-organized Model for Modular Complex Networks : Division and Independence

dc.creatorKim, D. -H.
dc.creatorRodgers, G. J.
dc.creatorKahng, B.
dc.creatorKim, D.
dc.date2003-10-10
dc.date.accessioned2026-07-07T02:54:07Z
dc.date.available2026-07-07T02:54:07Z
dc.descriptionWe introduce a minimal network model which generates a modular structure in a self-organized way. To this end, we modify the Barabasi-Albert model into the one evolving under the principle of division and independence as well as growth and preferential attachment (PA). A newly added vertex chooses one of the modules composed of existing vertices, and attaches edges to vertices belonging to that module following the PA rule. When the module size reaches a proper size, the module is divided into two, and a new module is created. The karate club network studied by Zachary is a prototypical example. We find that the model can reproduce successfully the behavior of the hierarchical clustering coefficient of a vertex with degree k, C(k), in good agreement with empirical measurements of real world networks.
dc.description4 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0310233
dc.identifierhttp://arxiv.org/abs/cond-mat/0310233
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/22416
dc.subjectStatistical Mechanics
dc.titleSelf-organized Model for Modular Complex Networks : Division and Independence
dc.typetext

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